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Merged
matt-cossins merged 3 commits into from
Feb 16, 2026
Merged

formatting #168

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d85f9e4
Update Video-&-Audio-Provenance-In-The-Age-of-AI.md
matt-cossins Feb 16, 2026
679701c
docs: auto-update
ci-bot Feb 16, 2026
7bb47be
Merge pull request #97 from arm-university/matt-cossins-patch-1
matt-cossins Feb 16, 2026
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3 changes: 1 addition & 2 deletions Projects/Projects/Video-&-Audio-Provenance-In-The-Age-of-AI.md
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Expand Up @@ -29,8 +29,7 @@ donation:
### Why is this important?

Generative AI has created a trust gap:
- Images, videos, and audio may be AI-generated or heavily manipulated
- this can lead to deepfakes, and fraud.
- Images, videos, and audio may be AI-generated or heavily manipulated - this can lead to deepfakes, and fraud.
- This AI-enhancement or editing can occur in real-time - i.e. a person can live stream themselves but use ML to change their appearance and voice.
- Moreover, the use of AI models to scan images, video, and audio (e.g. facial or voice recognition) is often opaque, with no actual changes to the underlying data.
- Viewers rarely know whether AI analysis was performed, or what conclusion was reached. Such seamless content transformation, does not require much specialized skills and hence within the reach of common masses.
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6 changes: 2 additions & 4 deletions docs/_posts/2026-02-12-Video-&-Audio-Provenance-In-The-Age-of-AI.md
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Expand Up @@ -31,8 +31,7 @@ full_description: |-
### Why is this important?

Generative AI has created a trust gap:
- Images, videos, and audio may be AI-generated or heavily manipulated
- this can lead to deepfakes, and fraud.
- Images, videos, and audio may be AI-generated or heavily manipulated - this can lead to deepfakes, and fraud.
- This AI-enhancement or editing can occur in real-time - i.e. a person can live stream themselves but use ML to change their appearance and voice.
- Moreover, the use of AI models to scan images, video, and audio (e.g. facial or voice recognition) is often opaque, with no actual changes to the underlying data.
- Viewers rarely know whether AI analysis was performed, or what conclusion was reached. Such seamless content transformation, does not require much specialized skills and hence within the reach of common masses.
Expand Down Expand Up @@ -110,8 +109,7 @@ full_description: |-
### Why is this important?

Generative AI has created a trust gap:
- Images, videos, and audio may be AI-generated or heavily manipulated
- this can lead to deepfakes, and fraud.
- Images, videos, and audio may be AI-generated or heavily manipulated - this can lead to deepfakes, and fraud.
- This AI-enhancement or editing can occur in real-time - i.e. a person can live stream themselves but use ML to change their appearance and voice.
- Moreover, the use of AI models to scan images, video, and audio (e.g. facial or voice recognition) is often opaque, with no actual changes to the underlying data.
- Viewers rarely know whether AI analysis was performed, or what conclusion was reached. Such seamless content transformation, does not require much specialized skills and hence within the reach of common masses.
Expand Down